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作 者:Jieru YAO Xueran LI Qiang XIE Longfei HAN Yiwen JIA Nian LIU Dingwen ZHANG Junwei HAN
机构地区:[1]School of Automation,Northwestern Polytechnical University,Xi’an 710072,China [2]Institute of Artificial Intelligence,Hefei Comprehensive National Science Center,Hefei 230088,China [3]AHU-IAI AI Joint Laboratory,Anhui University,Hefei 230039,China [4]Institute of Advanced Technology,University of Science and Technology of China,Hefei 230026,China [5]School of Computer and Artificial Intelligence,Beijing Technology and Business University,Beijing 100048,China [6]Department of Gastroenterology,The Third Affiliated Hospital of Anhui Medical University(Hefei First People’s Hospital),Hefei 230061,China [7]The Computer Vision Department,Mohamed Bin Zayed University of Artificial Intelligence,Masdar,Abu Dhabi 200120,United Arab Emirates [8]Xijing Hospital,The Fourth Military Medical University,Xi’an 710032,China
出 处:《Frontiers of Computer Science》2025年第4期121-123,共3页计算机科学前沿(英文版)
基 金:supported in part by the National Natural Science Foundation of China(Grant Nos.62272468,62003256,62027813,U1801265,62293543,62322605,62036005,62202015,and U21B2048);the Key-Area Research and Development Program of Shaanxi Province(2023-ZDLSF-41);the Anhui Medical University(2022xkj105,2023cy021);the Anhui Provincial Key R&D Program(2023s07020001);the University Synergy Innovation Program of Anhui Province(GXXT-2022-052).
摘 要:1 Introduction Endoscopy plays a crucial role in the diagnoses and treatment of gastrointestinal(GI)diseases[1],as it helps to identify abnormalities,classify lesion,and determine treatment methods.During GI endoscopic examinations,physicians may encounter practical hindrances,i.e.,fatigue,stress,or limited experience,which can lead to erroneous results.Artificial intelligence(AI)-assisted GI endoscopy technology has emerged to address these limitations[2].
关 键 词:STRESS giendoscopy FATIGUE identify abnormalitiesclassify lesionidentification ARTIFICIALINTELLIGENCE
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